/usr/include/coin/ClpFactorization.hpp is in coinor-libclp-dev 1.12.0-2.1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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// Copyright (C) 2002, International Business Machines
// Corporation and others. All Rights Reserved.
#ifndef ClpFactorization_H
#define ClpFactorization_H
#include "CoinPragma.hpp"
#include "CoinFactorization.hpp"
class ClpMatrixBase;
class ClpSimplex;
class ClpNetworkBasis;
class CoinOtherFactorization;
#ifndef CLP_MULTIPLE_FACTORIZATIONS
#define CLP_MULTIPLE_FACTORIZATIONS 4
#endif
#ifdef CLP_MULTIPLE_FACTORIZATIONS
#include "CoinDenseFactorization.hpp"
#endif
#ifndef COIN_FAST_CODE
#define COIN_FAST_CODE
#endif
/** This just implements CoinFactorization when an ClpMatrixBase object
is passed. If a network then has a dummy CoinFactorization and
a genuine ClpNetworkBasis object
*/
class ClpFactorization
#ifndef CLP_MULTIPLE_FACTORIZATIONS
: public CoinFactorization
#endif
{
//friend class CoinFactorization;
public:
/**@name factorization */
//@{
/** When part of LP - given by basic variables.
Actually does factorization.
Arrays passed in have non negative value to say basic.
If status is okay, basic variables have pivot row - this is only needed
if increasingRows_ >1.
Allows scaling
If status is singular, then basic variables have pivot row
and ones thrown out have -1
returns 0 -okay, -1 singular, -2 too many in basis, -99 memory */
int factorize (ClpSimplex * model, int solveType, bool valuesPass);
//@}
/**@name Constructors, destructor */
//@{
/** Default constructor. */
ClpFactorization();
/** Destructor */
~ClpFactorization();
//@}
/**@name Copy method */
//@{
/** The copy constructor from an CoinFactorization. */
ClpFactorization(const CoinFactorization&);
/** The copy constructor. */
ClpFactorization(const ClpFactorization&, int denseIfSmaller = 0);
#ifdef CLP_MULTIPLE_FACTORIZATIONS
/** The copy constructor from an CoinOtherFactorization. */
ClpFactorization(const CoinOtherFactorization&);
#endif
ClpFactorization& operator=(const ClpFactorization&);
//@}
/* **** below here is so can use networkish basis */
/**@name rank one updates which do exist */
//@{
/** Replaces one Column to basis,
returns 0=OK, 1=Probably OK, 2=singular, 3=no room
If checkBeforeModifying is true will do all accuracy checks
before modifying factorization. Whether to set this depends on
speed considerations. You could just do this on first iteration
after factorization and thereafter re-factorize
partial update already in U */
int replaceColumn ( const ClpSimplex * model,
CoinIndexedVector * regionSparse,
CoinIndexedVector * tableauColumn,
int pivotRow,
double pivotCheck ,
bool checkBeforeModifying = false,
double acceptablePivot = 1.0e-8);
//@}
/**@name various uses of factorization (return code number elements)
which user may want to know about */
//@{
/** Updates one column (FTRAN) from region2
Tries to do FT update
number returned is negative if no room
region1 starts as zero and is zero at end */
int updateColumnFT ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2);
/** Updates one column (FTRAN) from region2
region1 starts as zero and is zero at end */
int updateColumn ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2,
bool noPermute = false) const;
/** Updates one column (FTRAN) from region2
Tries to do FT update
number returned is negative if no room.
Also updates region3
region1 starts as zero and is zero at end */
int updateTwoColumnsFT ( CoinIndexedVector * regionSparse1,
CoinIndexedVector * regionSparse2,
CoinIndexedVector * regionSparse3,
bool noPermuteRegion3 = false) ;
/// For debug (no statistics update)
int updateColumnForDebug ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2,
bool noPermute = false) const;
/** Updates one column (BTRAN) from region2
region1 starts as zero and is zero at end */
int updateColumnTranspose ( CoinIndexedVector * regionSparse,
CoinIndexedVector * regionSparse2) const;
//@}
#ifdef CLP_MULTIPLE_FACTORIZATIONS
/**@name Lifted from CoinFactorization */
//@{
/// Total number of elements in factorization
inline int numberElements ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->numberElements();
else return coinFactorizationB_->numberElements() ;
}
/// Returns address of permute region
inline int *permute ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->permute();
else return coinFactorizationB_->permute() ;
}
/// Returns address of pivotColumn region (also used for permuting)
inline int *pivotColumn ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->pivotColumn();
else return coinFactorizationB_->permute() ;
}
/// Maximum number of pivots between factorizations
inline int maximumPivots ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->maximumPivots();
else return coinFactorizationB_->maximumPivots() ;
}
/// Set maximum number of pivots between factorizations
inline void maximumPivots ( int value) {
if (coinFactorizationA_) coinFactorizationA_->maximumPivots(value);
else coinFactorizationB_->maximumPivots(value);
}
/// Returns number of pivots since factorization
inline int pivots ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->pivots();
else return coinFactorizationB_->pivots() ;
}
/// Whether larger areas needed
inline double areaFactor ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->areaFactor();
else return 0.0 ;
}
/// Set whether larger areas needed
inline void areaFactor ( double value) {
if (coinFactorizationA_) coinFactorizationA_->areaFactor(value);
}
/// Zero tolerance
inline double zeroTolerance ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->zeroTolerance();
else return coinFactorizationB_->zeroTolerance() ;
}
/// Set zero tolerance
inline void zeroTolerance ( double value) {
if (coinFactorizationA_) coinFactorizationA_->zeroTolerance(value);
else coinFactorizationB_->zeroTolerance(value);
}
/// Set tolerances to safer of existing and given
void saferTolerances ( double zeroTolerance, double pivotTolerance);
/** get sparse threshold */
inline int sparseThreshold ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->sparseThreshold();
else return 0 ;
}
/** Set sparse threshold */
inline void sparseThreshold ( int value) {
if (coinFactorizationA_) coinFactorizationA_->sparseThreshold(value);
}
/// Returns status
inline int status ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->status();
else return coinFactorizationB_->status() ;
}
/// Sets status
inline void setStatus ( int value) {
if (coinFactorizationA_) coinFactorizationA_->setStatus(value);
else coinFactorizationB_->setStatus(value) ;
}
/// Returns number of dense rows
inline int numberDense() const {
if (coinFactorizationA_) return coinFactorizationA_->numberDense();
else return 0 ;
}
#if 1
/// Returns number in U area
inline CoinBigIndex numberElementsU ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->numberElementsU();
else return -1 ;
}
/// Returns number in L area
inline CoinBigIndex numberElementsL ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->numberElementsL();
else return -1 ;
}
/// Returns number in R area
inline CoinBigIndex numberElementsR ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->numberElementsR();
else return 0 ;
}
#endif
inline bool timeToRefactorize() const {
if (coinFactorizationA_) {
return (coinFactorizationA_->pivots() * 3 > coinFactorizationA_->maximumPivots() * 2 &&
coinFactorizationA_->numberElementsR() * 3 > (coinFactorizationA_->numberElementsL() +
coinFactorizationA_->numberElementsU()) * 2 + 1000 &&
!coinFactorizationA_->numberDense());
} else {
return coinFactorizationB_->pivots() > coinFactorizationB_->numberRows() / 2.45 + 20;
}
}
/// Level of detail of messages
inline int messageLevel ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->messageLevel();
else return 1 ;
}
/// Set level of detail of messages
inline void messageLevel ( int value) {
if (coinFactorizationA_) coinFactorizationA_->messageLevel(value);
}
/// Get rid of all memory
inline void clearArrays() {
if (coinFactorizationA_)
coinFactorizationA_->clearArrays();
else if (coinFactorizationB_)
coinFactorizationB_->clearArrays();
}
/// Number of Rows after factorization
inline int numberRows ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->numberRows();
else return coinFactorizationB_->numberRows() ;
}
/// Gets dense threshold
inline int denseThreshold() const {
if (coinFactorizationA_) return coinFactorizationA_->denseThreshold();
else return 0 ;
}
/// Sets dense threshold
inline void setDenseThreshold(int value) {
if (coinFactorizationA_) coinFactorizationA_->setDenseThreshold(value);
}
/// Pivot tolerance
inline double pivotTolerance ( ) const {
if (coinFactorizationA_) return coinFactorizationA_->pivotTolerance();
else if (coinFactorizationB_) return coinFactorizationB_->pivotTolerance();
return 1.0e-8 ;
}
/// Set pivot tolerance
inline void pivotTolerance ( double value) {
if (coinFactorizationA_) coinFactorizationA_->pivotTolerance(value);
else if (coinFactorizationB_) coinFactorizationB_->pivotTolerance(value);
}
/// Allows change of pivot accuracy check 1.0 == none >1.0 relaxed
inline void relaxAccuracyCheck(double value) {
if (coinFactorizationA_) coinFactorizationA_->relaxAccuracyCheck(value);
}
/** Array persistence flag
If 0 then as now (delete/new)
1 then only do arrays if bigger needed
2 as 1 but give a bit extra if bigger needed
*/
inline int persistenceFlag() const {
if (coinFactorizationA_) return coinFactorizationA_->persistenceFlag();
else return 0 ;
}
inline void setPersistenceFlag(int value) {
if (coinFactorizationA_) coinFactorizationA_->setPersistenceFlag(value);
}
/// Delete all stuff (leaves as after CoinFactorization())
inline void almostDestructor() {
if (coinFactorizationA_)
coinFactorizationA_->almostDestructor();
else if (coinFactorizationB_)
coinFactorizationB_->clearArrays();
}
/// Returns areaFactor but adjusted for dense
inline double adjustedAreaFactor() const {
if (coinFactorizationA_) return coinFactorizationA_->adjustedAreaFactor();
else return 0.0 ;
}
inline void setBiasLU(int value) {
if (coinFactorizationA_) coinFactorizationA_->setBiasLU(value);
}
/// true if Forrest Tomlin update, false if PFI
inline void setForrestTomlin(bool value) {
if (coinFactorizationA_) coinFactorizationA_->setForrestTomlin(value);
}
/// Sets default values
inline void setDefaultValues() {
if (coinFactorizationA_) {
// row activities have negative sign
#ifndef COIN_FAST_CODE
coinFactorizationA_->slackValue(-1.0);
#endif
coinFactorizationA_->zeroTolerance(1.0e-13);
}
}
/// If nonzero force use of 1,dense 2,small 3,osl
void forceOtherFactorization(int which);
/// Get switch to osl if number rows <= this
inline int goOslThreshold() const {
return goOslThreshold_;
}
/// Set switch to osl if number rows <= this
inline void setGoOslThreshold(int value) {
goOslThreshold_ = value;
}
/// Get switch to dense if number rows <= this
inline int goDenseThreshold() const {
return goDenseThreshold_;
}
/// Set switch to dense if number rows <= this
inline void setGoDenseThreshold(int value) {
goDenseThreshold_ = value;
}
/// Get switch to small if number rows <= this
inline int goSmallThreshold() const {
return goSmallThreshold_;
}
/// Set switch to small if number rows <= this
inline void setGoSmallThreshold(int value) {
goSmallThreshold_ = value;
}
/// Go over to dense or small code if small enough
void goDenseOrSmall(int numberRows) ;
/// Sets factorization
void setFactorization(ClpFactorization & factorization);
/// Return 1 if dense code
inline int isDenseOrSmall() const {
return coinFactorizationB_ ? 1 : 0;
}
#else
inline bool timeToRefactorize() const {
return (pivots() * 3 > maximumPivots() * 2 &&
numberElementsR() * 3 > (numberElementsL() + numberElementsU()) * 2 + 1000 &&
!numberDense());
}
/// Sets default values
inline void setDefaultValues() {
// row activities have negative sign
#ifndef COIN_FAST_CODE
slackValue(-1.0);
#endif
zeroTolerance(1.0e-13);
}
/// Go over to dense code
inline void goDense() {}
#endif
//@}
/**@name other stuff */
//@{
/** makes a row copy of L for speed and to allow very sparse problems */
void goSparse();
/// Cleans up i.e. gets rid of network basis
void cleanUp();
/// Says whether to redo pivot order
bool needToReorder() const;
#ifndef SLIM_CLP
/// Says if a network basis
inline bool networkBasis() const {
return (networkBasis_ != NULL);
}
#else
/// Says if a network basis
inline bool networkBasis() const {
return false;
}
#endif
/// Fills weighted row list
void getWeights(int * weights) const;
//@}
////////////////// data //////////////////
private:
/**@name data */
//@{
/// Pointer to network basis
#ifndef SLIM_CLP
ClpNetworkBasis * networkBasis_;
#endif
#ifdef CLP_MULTIPLE_FACTORIZATIONS
/// Pointer to CoinFactorization
CoinFactorization * coinFactorizationA_;
/// Pointer to CoinOtherFactorization
CoinOtherFactorization * coinFactorizationB_;
/// If nonzero force use of 1,dense 2,small 3,osl
int forceB_;
/// Switch to osl if number rows <= this
int goOslThreshold_;
/// Switch to small if number rows <= this
int goSmallThreshold_;
/// Switch to dense if number rows <= this
int goDenseThreshold_;
#endif
//@}
};
#endif
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